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ISPRS Int. J. Geo-Inf. 2018, 7(3), 89; https://doi.org/10.3390/ijgi7030089

Geographic Information Retrieval Method for Geography Mark-Up Language Data

1,2
and
1,3,*
1
Key Laboratory of Virtual Geographic Environment of Ministry of Education, Nanjing Normal University, Nanjing 210023, China
2
College of Computer Information Engineering Henan University, Kaifeng 475001, China
3
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
Received: 27 November 2017 / Revised: 11 February 2018 / Accepted: 7 March 2018 / Published: 9 March 2018
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Abstract

Geography Mark-up Language (GML) is the geographic information coding specification based on the Extensible Markup Language (XML) technology, which was developed by the Open GIS Consortium (OGC). GML expresses spatial and non-spatial attributes of geographic objects. Retrievals for traditional XML and geographic information have some limitations with respect to GML data, such as mismatching of the retrieval model, a single search form, and low retrieval quality. Based on analysis of the attributes, spatial relations, and structural features of GML data, this paper takes GML data elements as retrieval units and summarizes the GML retrieval mode. Then, the GML retrieval mode is constructed and formalized. On this basis, the GML Geographic Information Retrieval (GML_GIR) model is presented. The method implements the construction of a comprehensive index and the relative ordering of retrieval results by means of Lucene, an open-source full-text retrieval framework, and its components. For different features of GML data, corresponding relevance calculations are proposed. This study designs several different retrieval forms for GML data and simplifies the process of user information acquisitions. It provides reference methods for exploring geographical information retrieval based on semi-structured data represented by GML. Experimental results showed the efficiency and accuracy of the retrieval method. View Full-Text
Keywords: GML data features; GML_GIR model; retrieval mode; comprehensive index construction; relevance calculations GML data features; GML_GIR model; retrieval mode; comprehensive index construction; relevance calculations
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Fang, C.; Zhang, S. Geographic Information Retrieval Method for Geography Mark-Up Language Data. ISPRS Int. J. Geo-Inf. 2018, 7, 89.

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